Product Description

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

This Schaum's Outline gives you

• Practice problems with full explanations that reinforce knowledge
• Coverage of the most up-to-date developments in your course field
• In-depth review of practices and applications

Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!

Schaum's Outlines-Problem Solved.

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Product Details

• Amazon Sales Rank: #98399 in Books
• Published on: 1996-11-01
• Original language: English
• Number of items: 1
• Binding: Paperback
• 320 pages

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Customer Reviews

Concise but spot on outline of statistical theory.
This book provides a very solid structure upon which to build statistical understanding. It outlines very shortly without any extra unnecessary comments, the basics and also the advanced elements of statistical probability and statistical inference. The book is structured with a very easy to follow system. The theory and ideas are explained and to follow come the worked examples to further reinforce the material covered. The book begins with probability theory, random variables and random processes to build a solid background information to be able to cover statistical inference topics, mainly estimation theory, decision theory and queuing theory. The aspects of statistical inference are very complicated and usually a textbook would bring some understanding, but to be able to solve problems and know how to apply for example parameter estimation methods, one needs to be supplied with sufficient amount of examples, which this book certainly has. Multiple random variables are also covered and a very good coverage of the mathematical techniques required is displayed, though these techniques are not concentrated on in this book, thus the basic knowledge of integration and differentiation will be required to understand the mathematical concepts involved. The decision theory is the part that disappointed me the most. The basic techniques are shown and some hypothesis tests are explained, the examples that follow are useful but it really does not cover many parts of the decision theory. For example it does not provide hypothesis tests for population that do not follow the normal distributions, tests such as non-parametric or simply populations whose variance is unknown and the t-distribution is required. These are tests that I believe should have been included since it is within the scope of the book, and after the build up of all the estimation theory these tests are useful in enforcing the use of the theory. Nevertheless the hypothesis tests provided are very good and well explained. Overall this book is very good for some extra practice whilst revising for an exam, or a good outline reference for statistical courses, it by all means does not cover the material in full, but provides very good and concise outline of the main ideas.

A great exercise book
This book has many exercises with answers/solutions to each and every exercise covering a wide range of topics from probability. The book, however, should be used along with an appropriate probability textbook. An excellent companion to Hsu's book is the introductory text by Henk Tijms. This book contains many worked-out examples and exercises as well, but also explains why probability works and how it can be applied in practice. As engineering student, I learned a lot by using both books.